无磁轭轴向磁通风力发电机多目标偏好优化设计  

Multi-objective preference optimization of yokeless axial-flux wind generator

作　　者：曹永娟[1] 顾迪 冯亮亮 张伟[1] 李康 毛瑞 CAO Yongjuan;GU Di;FENG Liangliang;ZHANG Wei;LI Kang;MAO Rui(School of Automation,Nanjing University of Information Science&Technology,Nanjing 210044,China;Jiangsu Provincial Collaborative Center for Atmospheric Environment and Equipment Technology,Nanjing 210044,China)

机构地区：[1]南京信息工程大学自动化学院,江苏南京210044 [2]江苏省大气环境与装备技术协同中心,江苏南京210044

出　　处：《电机与控制学报》2023年第9期148-156,共9页Electric Machines and Control

基　　金：国家自然科学基金(51507082)。

摘　　要：为了实现小型风力发电机的高性能及微风启动,将3D打印赛钢塑料与混合Halbach阵列、模块化弹性定子铁心结合,提出一种无磁轭模块化轴向磁通风力发电机。根据设计要求,分析不同材料的重量,确定了电机的初步方案。在目标约束的基础上,以感应电动势波形畸变率为主要偏好,感应电动势、齿槽转矩为次要偏好进行优化设计。采用了改进的多目标遗传优化算法及响应面法对电机进行了多目标偏好优化,并与无偏好的优化结果对比,体现了偏好优化的优势。最后,通过有限元仿真及样机实验验证该电机性能。In order to achieve high performance and easy start-up of small wind generator,a yokeless segmented axial-flux wind generator(YSAFWG)was proposed by combining 3D printing polyformaldehyde with hybrid Halbach array and segmented elastic stator core.According to the design requirements,weight of different materials was analyzed,and the preliminary scheme of the motor was determined.On the basis of the objective constraint,total harmonic distortion(THD)was taken as the main preference,and electromotive force(EMF)and cogging torque as the secondary preference for optimization design.The multi-objective preference optimization(MOPO)of the motor was carried out by using the improved multi-objective genetic optimization algorithm non-dominated sorting genetic algorithm II(NSGA-II)and response surface method(RSM),and the results were compared with the non-preference optimization results to reflect the advantages of preference optimization.Finally,the performance of the motor was verified by finite element simulation and prototype experiment.

关 键 词：轴向磁通发电机设计 3D打印赛钢塑料 模块化弹性定子铁心 多目标偏好优化 响应面法 多目标遗传优化算法 

分 类 号：TM341[电气工程—电机]